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Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

30 March 2018

Pieter Abbeel

Papers citing "Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning"

50 / 328 papers shown

Title
Results and Lessons Learned from Autonomous Driving Transportation Services in Airfield, Crowded Indoor, and Urban Environments Doosan Baek Sanghyun Kim Seung-Woo Seo Sanghyun Lee 51 1 0 02 Mar 2024
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents Wenkai Yang Xiaohan Bi Yankai Lin Sishuo Chen Jie Zhou Xu Sun LLMAG AAML 129 71 0 17 Feb 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics Xinyu Zhang Wenjie Qiu Yi-Chen Li Lei Yuan Chengxing Jia Zongzhang Zhang Yang Yu OffRL 121 1 0 17 Feb 2024
Large Language Models as Agents in Two-Player Games Yang Liu Peng Sun Hang Li LLMAG 73 4 0 12 Feb 2024
Distilling Morphology-Conditioned Hypernetworks for Efficient Universal Morphology Control Zheng Xiong Risto Vuorio Jacob Beck Matthieu Zimmer Kun Shao Shimon Whiteson 89 1 0 09 Feb 2024
A Comprehensive Survey of Cross-Domain Policy Transfer for Embodied Agents Haoyi Niu Jianming Hu Guyue Zhou Xianyuan Zhan 59 12 0 07 Feb 2024
Sample Weight Estimation Using Meta-Updates for Online Continual Learning Hamed Hemati Damian Borth 80 0 0 29 Jan 2024
Solving Continual Offline Reinforcement Learning with Decision Transformer Kaixin Huang Li Shen Chen Zhao Chun Yuan Dacheng Tao CLL OffRL 84 5 0 16 Jan 2024
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems Amit Jena D. Kalathil Le Xie 62 3 0 23 Dec 2023
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning Filippos Christianos Georgios Papoudakis Matthieu Zimmer Thomas Coste Zhihao Wu ... Yicheng Luo Jianye Hao Kun Shao Haitham Bou-Ammar Jun Wang 76 20 0 22 Dec 2023
Meta-Learning with Versatile Loss Geometries for Fast Adaptation Using Mirror Descent Yilang Zhang Bingcong Li G. Giannakis 89 0 0 20 Dec 2023
On Task-Relevant Loss Functions in Meta-Reinforcement Learning and Online LQR Jaeuk Shin Giho Kim Howon Lee Joonho Han Insoon Yang OffRL 75 1 0 09 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 94 7 0 01 Dec 2023
Hierarchical Meta-learning-based Adaptive Controller Fengze Xie Guanya Shi Michael O'Connell Yisong Yue Soon-Jo Chung 62 4 0 21 Nov 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 78 5 0 13 Nov 2023
Unlock Reliable Skill Inference for Quadruped Adaptive Behavior by Skill Graph Hongyin Zhang Diyuan Shi Zifeng Zhuang Han Zhao Zhenyu Wei Feng Zhao Sibo Gai Shangke Lyu Donglin Wang 75 0 0 10 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 94 12 0 09 Nov 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 64 1 0 08 Nov 2023
Adaptive Stochastic Nonlinear Model Predictive Control with Look-ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control Baha Zarrouki Chenyang Wang Johannes Betz 50 2 0 07 Nov 2023
Hypothesis Network Planned Exploration for Rapid Meta-Reinforcement Learning Adaptation Maxwell J. Jacobson Yexiang Xue 81 0 0 07 Nov 2023
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment Annie S. Chen Govind Chada Laura M. Smith Archit Sharma Zipeng Fu Sergey Levine Chelsea Finn 96 8 0 02 Nov 2023
Emergence of Collective Open-Ended Exploration from Decentralized Meta-Reinforcement Learning Richard Bornemann Gautier Hamon Eleni Nisioti Clément Moulin-Frier LRM 74 1 0 01 Nov 2023
Human-Guided Complexity-Controlled Abstractions Andi Peng Mycal Tucker Eoin M. Kenny Noga Zaslavsky Pulkit Agrawal Julie A. Shah 59 1 0 26 Oct 2023
Using Buckingham's $π$ Theorem for Multi-System Learning Transfer: a Case-study with 3 Vehicles Sharing a Database William Therrien Olivier Lecompte Alexandre Girard 51 1 0 26 Oct 2023
Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies Michael Beukman Devon Jarvis Richard Klein Steven D. James Benjamin Rosman 105 13 0 25 Oct 2023
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL Zhongjian Qiao Jiafei Lyu Xiu Li 66 3 0 23 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 95 53 0 12 Oct 2023
Learning a Reward Function for User-Preferred Appliance Scheduling N. Čović Jochen Cremer H. Pandžić 22 1 0 11 Oct 2023
A Unified View on Solving Objective Mismatch in Model-Based Reinforcement Learning Ran Wei Nathan Lambert Anthony D. McDonald Alfredo Garcia Roberto Calandra 107 7 0 10 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments Xiong-Hui Chen Junyin Ye Hang Zhao Yi-Chen Li Haoran Shi ... Si-Hang Yang Anqi Huang Kai Xu Zongzhang Zhang Yang Yu 73 0 0 09 Oct 2023
Safe Deep Policy Adaptation Wenli Xiao Tairan He John M. Dolan Guanya Shi 94 10 0 08 Oct 2023
Policy Stitching: Learning Transferable Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen OffRL 61 8 0 24 Sep 2023
Robot Parkour Learning Ziwen Zhuang Zipeng Fu Jianren Wang Christopher G Atkeson Soeren Schwertfeger Chelsea Finn Hang Zhao 131 162 0 11 Sep 2023
Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments Haozhe Lei Quanyan Zhu 64 1 0 05 Sep 2023
Foundational Policy Acquisition via Multitask Learning for Motor Skill Generation Satoshi Yamamori Jun Morimoto 83 0 0 31 Aug 2023
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation Junwon Seo Taekyung Kim Seongyong Ahn K. Kwak 78 0 0 26 Jul 2023
Enabling Efficient, Reliable Real-World Reinforcement Learning with Approximate Physics-Based Models T. Westenbroek Jacob Levy David Fridovich-Keil 67 0 0 16 Jul 2023
Supervised Pretraining Can Learn In-Context Reinforcement Learning Jonathan Lee Annie Xie Aldo Pacchiano Yash Chandak Chelsea Finn Ofir Nachum Emma Brunskill OffRL 118 86 0 26 Jun 2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception Junwon Seo Jungwi Mun Taekyung Kim 73 4 0 26 Jun 2023
Maintaining Plasticity in Deep Continual Learning Shibhansh Dohare J. F. Hernandez-Garcia Parash Rahman A. Rupam Mahmood Richard S. Sutton KELM CLL 91 29 0 23 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard Turner OffRL 73 1 0 23 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning Seyyidahmed Lahmer Federico Mason Federico Chiariotti Andrea Zanella 63 1 0 06 Jun 2023
Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation Wanpeng Zhang Yilin Li Boyu Yang Zongqing Lu CML 77 1 0 05 Jun 2023
Cross-Domain Policy Adaptation via Value-Guided Data Filtering Kang Xu Chenjia Bai Xiaoteng Ma Dong Wang Bingyan Zhao Zhen Wang Xuelong Li Wei Li 94 18 0 28 May 2023
Online Nonstochastic Model-Free Reinforcement Learning Udaya Ghai Arushi Gupta Wenhan Xia Karan Singh Elad Hazan OffRL 92 6 0 27 May 2023
On First-Order Meta-Reinforcement Learning with Moreau Envelopes Taha Toghani Sebastian Perez-Salazar César A. Uribe 102 2 0 20 May 2023
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems Xiong-Hui Chen Bowei He Yangze Yu Qingyang Li Zhiwei Qin Wenjie Shang Jieping Ye Chen Ma OffRL 78 12 0 03 May 2023
More Than an Arm: Using a Manipulator as a Tail for Enhanced Stability in Legged Locomotion Huang Huang Antonio Loquercio Ashish Kumar Neerja Thakkar Ken Goldberg Jitendra Malik 57 2 0 02 May 2023
How Simulation Helps Autonomous Driving:A Survey of Sim2real, Digital Twins, and Parallel Intelligence Xuemin Hu Shen Li Ting Huang Bo Tang Rouxing Huai Long Chen 88 73 0 02 May 2023
Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning Mingyang Wang Zhenshan Bing Xiangtong Yao Shuai Wang Hang Su Chenguang Yang Kai Huang Alois C. Knoll SSL OOD 132 17 0 29 Apr 2023